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To prepare for the (possible) evaluation of v, the values in the interval [left(v), right(v)] of the array suffixes are incremented by the length of the corresponding lcp. Finally, after all successor nodes of u are created, the values of left(u) and right(u) in T are replaced by the integers lp(u) := suffixes[left(u)] and firstchild(u), and the unevaluated bit for u is deleted. The nodes of the suffix tree can be evaluated in an arbitrary order respecting the father/child relation. Two strategies are relevant in practice: The eager strategy evaluates nodes in a depth-first and left-to-right traversal, as long as there are unevaluated nodes remaining.

Time-Emphasized Parallel Randomized Coin-Tossing Algorithm (Cut-6) A variant of the parallel algorithm of the previous paragraph is presented next. Dubbed “Cut-6”, it achieves better time but does more work. That is, it runs faster than the No-Cut algorithm if available (machine) parallelism is above some threshold. The only difference relative to the No-Cut algorithm is that in the forward iterations a selected element stops pointer-jumping after 6 elements even if it has not reached another selected element.